[HTML][HTML] CausalOps-Towards an industrial lifecycle for causal probabilistic graphical models
R Maier, A Schlattl, T Guess, J Mottok - Information and Software …, 2024 - Elsevier
Context: Causal probabilistic graph-based models have gained widespread utility, enabling
the modeling of cause-and-effect relationships across diverse domains. With their rising …
the modeling of cause-and-effect relationships across diverse domains. With their rising …
Extending Structural Causal Models for Use in Autonomous Embodied Systems
Much work has been done to develop causal reasoning techniques across a number of
domains, however the utilisation of causality within autonomous systems is still in its infancy …
domains, however the utilisation of causality within autonomous systems is still in its infancy …
[PDF][PDF] Augmenting scenario description languages for intelligence testing of automated driving systems
Y Tang, AA Bruto da Costa, P Irvine, T Dodoiu, Y Zhang… - 2024 - wrap.warwick.ac.uk
Scenario-based verification and validation (V&V) has emerged as the predominant
approach for the performance evaluation of automated driving systems (ADSs). Many …
approach for the performance evaluation of automated driving systems (ADSs). Many …
Advanced Driving Assistance System: Real-Time Traffic Sign Detection and Driver Drowsiness Monitoring.
P Bailke, S Khedkar, S Kumbhar… - … of Engineering & …, 2024 - search.ebscohost.com
Abstract The Advanced Driver Assistance System (ADAS) has emerged as a critical
technology for enhancing road safety and preventing accidents. This research paper aims to …
technology for enhancing road safety and preventing accidents. This research paper aims to …